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Field
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weeks of vacation, Friendly and international working environment Opportunities for professional development and language courses Social benefits and pension insurance Selection process Please send your
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
may be obtained: From Professor Charlotte Held Gotfredsen, tel.: +45 20650942, email: chg@kemi.dtu.dk with respect to position 1 and 2. Website: https://www.kemi.dtu.dk/english/research/organic
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work tasks You will be part of ongoing research activities that address the market-driven operation and economic optimization of integrated electricity–cooling systems, with a particular focus on
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international attention as a travel destination due to its unique combination of a thriving food-scene, high-quality museums, a surrounding beautiful nature, a very lively city due to the “young population”, many
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. Capacity to supervise Master and PhD students. We offer: Dynamic and international working environment. Training and access to a wide range of scientific facilities (for details see http://www.iciq.org
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programming language such as C or Fortran Strong expertise in data analyses and statistics Experience in ecological or environmental modelling Documented ability to publish scientific papers in international
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 23-Feb-26 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number
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. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV A
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LanguagesENGLISHLevelGood LanguagesROMANIANLevelMother Tongue Research FieldPhilosophy » PhenomenologyYears of Research Experience4 - 10 Additional Information Eligibility criteria Applicants must: hold a PhD in Philosophy
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practical experience in machine learning, especially deep learning and its practical application in the domain of language processing and sensor analysis Solid practical experience in the field of natural language